Abstract | ||
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The 1st Tiny Object Detection (TOD) Challenge aims toencourage research in developing novel and accurate methods for tinyobject detection in images which have wide views, with a current focuson tiny person detection. The TinyPerson dataset was used for the TODChallenge and is publicly released. It has 1610 images and 72651 box-levelannotations. Around 36 participating teams from the globe competed inthe 1st TOD Challenge. In this paper, we provide a brief summary of the1st TOD Challenge including brief introductions to the top three meth-ods.The submission leaderboard will be reopened for researchers that areinterested in the TOD challenge. The benchmark dataset and other infor-mation can be found at: https://github.com/ucas-vg/TinyBenchmark. |
Year | DOI | Venue |
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2020 | 10.1007/978-3-030-68238-5_23 | ECCV Workshops |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 25 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xuehui Yu | 1 | 0 | 1.69 |
Zhenjun Han | 2 | 176 | 16.40 |
Yuqi Gong | 3 | 0 | 0.34 |
Nan Jan | 4 | 0 | 0.34 |
Jian Zhao | 5 | 0 | 0.68 |
Qixiang Ye | 6 | 913 | 64.51 |
Jie Chen | 7 | 392 | 65.58 |
Yuan Feng | 8 | 0 | 0.68 |
Bin Zhang | 9 | 11 | 4.02 |
Xiaodi Wang | 10 | 9 | 4.21 |
Ying Xin | 11 | 0 | 2.03 |
Jingwei Liu | 12 | 20 | 10.65 |
Mingyuan Mao | 13 | 0 | 0.68 |
Sheng Xu | 14 | 507 | 71.47 |
Baochang Zhang | 15 | 1130 | 93.76 |
Shumin Han | 16 | 0 | 1.69 |
Cheng Gao | 17 | 12 | 8.29 |
Wei Tang | 18 | 3 | 1.84 |
Li-Zuo Jin | 19 | 32 | 5.98 |
Mingbo Hong | 20 | 0 | 0.68 |
Yuchao Yang | 21 | 0 | 1.35 |
Shuiwang Li | 22 | 0 | 0.34 |
Huan Luo | 23 | 0 | 0.34 |
David Zhang | 24 | 5068 | 234.25 |
Honghui Shi | 25 | 183 | 20.24 |